How UrbanStyle Retail Unified Data to Achieve a 360-Degree Customer View
E-commerce / Retail
50-200 Employees
New York, NY
Background
UrbanStyle Retail is a rapidly growing direct-to-consumer (DTC) fashion brand. As they expanded from a single Shopify store to selling across multiple channels (Amazon, social media shops, and physical pop-ups), their data became hopelessly fragmented. Marketing data lived in Facebook Ads Manager, sales data in Shopify, and inventory data in a legacy ERP system. The executive team was making decisions based on spreadsheets that were weeks out of date, leading to stockouts of popular items and wasted ad spend on sold-out products.
The challenges
The Head of Operations, David Chen, described the situation as “Excel Hell.” Analysts were spending 80% of their time manually downloading CSVs and stitching them together, leaving no time for actual analysis. The lack of a “single source of truth” meant that the Finance team’s revenue numbers rarely matched the Marketing team’s numbers. They needed a robust, automated data pipeline that could ingest data from all these disparate sources and present a unified view in real-time.
“We used to fly blind for the first two weeks of every month while waiting for reports. Now, we open my dashboard at 9 AM and know exactly how every SKU performed yesterday across every channel.“
David Chen
Head of Operations
The Solution
I architected and built a scalable Enterprise Data Warehouse (EDW) using Snowflake and Apache Airflow.
The Result
UrbanStyle Retail now operates with a fully automated, real-time data infrastructure.
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